Apogee Global RMS

Role Description Apogee is engaging contract Risk Analysts at the journeyman level to expand RRAG's research and production capacity. The Risk Analyst is a proficient practitioner who can scope, research, and deliver written analytical products with limited supervision. The role reports to the Team Leader, RRAG, and collaborates with Apogee's Senior Risk Advisors and the firm's Cyber and Physical Risk practice. This is a contract engagement structured for analysts who want substantive research work tied to a published product line, without the overhead of a full-time billet. Key Responsibilities - Conduct primary and open-source intelligence research across one or more of the 12 Nexus of Risk domains: cyber, physical security, people, operational, financial, technology, safety, strategic, reputation, compliance and regulatory, supply chain, and geopolitical. - Produce written analytical products including flat-rate client advisories, sector briefings, alert notifications, and content for subscription-tier deliverables. - Apply structured analytic techniques to evaluate likelihood, impact, and intersection effects across risk domains, consistent with the Nexus of Risk methodology. - Use the Tacilent platform and adjacent intelligence tooling to support research workflows, evidence tracking, and product publication. - Maintain analytical rigor consistent with the Nexus of Risk taxonomy and Apogee editorial standards, including academic register in framework references and clear separation between framework content and illustrative examples. - Contribute research inputs to RRAG-supported assets, including the Risk Apogee podcast, the RRAG webinar series, and LinkedIn distribution content. - Participate in weekly editorial planning and product review with the RRAG team. Qualifications - Three to seven years of professional experience in risk analysis, intelligence analysis, cybersecurity research, threat intelligence, geopolitical analysis, or a directly related research function. - Bachelor's degree in a relevant field, such as intelligence studies, security studies, international relations, computer science, risk management, criminal justice, public policy, or comparable. - Demonstrated portfolio of written analytical products. Candidates should be prepared to share two to three sanitized writing samples. - Working command of at least one Nexus domain, with analytical literacy across adjacent domains. - Proficiency with OSINT methods, source evaluation, and structured sourcing. - Strong written English. Ability to write to a defined editorial voice and to revise efficiently against feedback. - Capacity to operate independently on contract, manage deliverable timelines, and communicate proactively with the Team Leader, RRAG. Preferred Qualifications - Working knowledge of one or more risk management frameworks, such as NIST Cybersecurity Framework 2.0, NIST AI Risk Management Framework, ISO 31000, ISO 27001, COSO ERM, CMMC 2.0, or FAIR. - Prior experience in government, intelligence community, military, law enforcement, or regulated industry settings. - Relevant certifications, including but not limited to CISSP, CISM, CRISC, CFE, PSP, CPP, Security+, GIAC, or recognized intelligence analyst credentials. - Experience producing subscription-based intelligence or commercial advisory products. - Comfort with platform-based analytical workflows and AI-assisted research tooling. - Experience supporting executive or board-level audiences. Engagement Terms - Contract role, structured as 1099 or W-2 contractor depending on jurisdiction and analyst preference. - Remote within the United States. Occasional travel for client engagements or firm offsites at Apogee expense. - Hourly or project-based compensation, market-competitive and commensurate with experience and domain depth. - Initial engagement scoped at six months, with renewal contingent on deliverable performance and ongoing product demand. - Apogee retains exclusive ownership of work product. Standard contractor confidentiality, non-disclosure, and intellectual property provisions apply. How to Apply Submit a current resume, two to three writing samples (sanitized as needed), and a one-paragraph statement of risk domain emphasis to information@apogeeglobalrms.com with the subject line "RRAG Risk Analyst Contract Application." Applications are reviewed on a rolling basis.

• Conduct primary and open-source intelligence research across one or more of the 12 Nexus of Risk domains: cyber, physical security, people, operational, financial, technology, safety, strategic, reputation, compliance and regulatory, supply chain, and geopolitical. • Produce written analytical products including flat-rate client advisories, sector briefings, alert notifications, and content for subscription-tier deliverables. • Apply structured analytic techniques to evaluate likelihood, impact, and intersection effects across risk domains, consistent with the Nexus of Risk methodology. • Use the Tacilent platform and adjacent intelligence tooling to support research workflows, evidence tracking, and product publication. • Maintain analytical rigor consistent with the Nexus of Risk taxonomy and Apogee editorial standards, including academic register in framework references and clear separation between framework content and illustrative examples. • Contribute research inputs to RRAG-supported assets, including the Risk Apogee podcast, the RRAG webinar series, and LinkedIn distribution content. • Participate in weekly editorial planning and product review with the RRAG team.

• Define and drive technology strategy, digital transformation, and modernization initiatives • Oversee IT operations, cloud migration, infrastructure optimization, and cybersecurity alignment • Partner with C‑suite leaders to ensure technology supports enterprise growth and risk posture • Establish governance, vendor management, and scalable operating models • Lead data strategy, automation, and AI‑driven innovation • Provide executive‑level advisory on budgets, roadmaps, and organizational design • Mentor IT leadership and elevate cross‑functional technology maturity

Apogee Global RMS is supporting a client seeking a Fractional CIO to provide strategic technology leadership, modernization oversight, and executive‑level guidance during a period of rapid growth and transformation. This leader will shape technology direction, strengthen operational resilience, and ensure alignment between IT, cybersecurity, and business strategy. This is an ideal opportunity for a seasoned technology executive who thrives in high‑impact, high‑velocity environments and can deliver measurable outcomes without the overhead of a full‑time seat. What You’ll Lead: - Define and drive technology strategy, digital transformation, and modernization initiatives - Oversee IT operations, cloud migration, infrastructure optimization, and cybersecurity alignment - Partner with C‑suite leaders to ensure technology supports enterprise growth and risk posture - Establish governance, vendor management, and scalable operating models - Lead data strategy, automation, and AI‑driven innovation - Provide executive‑level advisory on budgets, roadmaps, and organizational design - Mentor IT leadership and elevate cross‑functional technology maturity

- Architect and implement IAM solutions across cloud and on‑prem environments (Azure AD, Okta, AWS IAM, etc.) - Lead the design of identity lifecycle management, authentication, authorization, and privileged access frameworks - Develop and enforce IAM governance, policies, and standards - Partner with Security, Infrastructure, DevOps, and Application teams to integrate IAM into enterprise systems - Evaluate and implement modern identity technologies (SSO, MFA, PAM, Zero Trust) - Conduct risk assessments, gap analyses, and remediation planning - Oversee IAM roadmap, scalability planning, and continuous improvement initiatives - Provide technical leadership, mentoring, and best‑practice guidance to engineering teams

Apogee Global RMS is seeking for a client a seasoned "Identity & Access Management (IAM) Architect" to design, implement, and optimize enterprise‑wide IAM strategies across a complex, multi‑cloud environment. This role is ideal for a security leader who thrives at the intersection of architecture, governance, and hands‑on engineering — and who can drive scalable, secure identity frameworks that support business growth. Key Responsibilities: - Architect and implement IAM solutions across cloud and on‑prem environments (Azure AD, Okta, AWS IAM, etc.) - Lead the design of identity lifecycle management, authentication, authorization, and privileged access frameworks - Develop and enforce IAM governance, policies, and standards - Partner with Security, Infrastructure, DevOps, and Application teams to integrate IAM into enterprise systems - Evaluate and implement modern identity technologies (SSO, MFA, PAM, Zero Trust) - Conduct risk assessments, gap analyses, and remediation planning - Oversee IAM roadmap, scalability planning, and continuous improvement initiatives - Provide technical leadership, mentoring, and best‑practice guidance to engineering teams

• Build and optimize machine learning models and statistical algorithms. • Analyze large, structured and unstructured datasets to identify trends and insights. • Develop dashboards, visualizations, and automated reporting tools. • Partner with engineering, product, and business teams to integrate data‑driven insights into strategy. • Validate model performance and ensure data quality, accuracy, and reliability. • Communicate findings clearly to technical and non‑technical stakeholders. • Support ongoing AI/ML initiatives across the organization.

Apogee Global RMS is looking for a Senior Data Scientist who can turn complex data into actionable intelligence. This person will design, develop, and deploy predictive models, machine learning solutions, and analytical frameworks that support product innovation and strategic decision‑making. This role is ideal for someone who thrives in a collaborative environment and enjoys solving complex problems with data. Key Responsibilities: - Build and optimize machine learning models and statistical algorithms. - Analyze large, structured and unstructured datasets to identify trends and insights. - Develop dashboards, visualizations, and automated reporting tools. - Partner with engineering, product, and business teams to integrate data‑driven insights into strategy. - Validate model performance and ensure data quality, accuracy, and reliability. - Communicate findings clearly to technical and non‑technical stakeholders. - Support ongoing AI/ML initiatives across the organization.

• Architect and implement GenAI and LLM‑based systems, including fine‑tuning, evaluation, and optimization • Build scalable pipelines for data processing, model training, inference, and continuous improvement • Deploy and manage AI workloads across AWS, Azure, or GCP using cloud‑native services • Integrate embeddings, vector search, and RAG pipelines into production environments • Optimize GPU/accelerator utilization for distributed training and high‑performance inference • Develop automation for CI/CD, MLOps, observability, and model lifecycle management • Ensure cloud security, compliance, and cost‑efficient resource allocation • Evaluate emerging AI frameworks, tools, and cloud services to drive innovation • Partner with cross‑functional teams to translate business needs into technical solutions

Apogee Global RMS is looking for a Senior AI Engineer who will lead the design, development, and deployment of advanced GenAI and LLM‑powered solutions across cloud platforms. This role requires deep expertise in modern AI architectures, hands‑on experience with large‑scale model development, and the ability to build secure, scalable, cloud‑native systems. Qualified professional will collaborate closely with engineering, data, and product teams to deliver high‑impact AI capabilities that accelerate innovation across the organization. Key Responsibilities: - Architect and implement GenAI and LLM‑based systems, including fine‑tuning, evaluation, and optimization - Build scalable pipelines for data processing, model training, inference, and continuous improvement - Deploy and manage AI workloads across AWS, Azure, or GCP using cloud‑native services - Integrate embeddings, vector search, and RAG pipelines into production environments - Optimize GPU/accelerator utilization for distributed training and high‑performance inference - Develop automation for CI/CD, MLOps, observability, and model lifecycle management - Ensure cloud security, compliance, and cost‑efficient resource allocation - Evaluate emerging AI frameworks, tools, and cloud services to drive innovation - Partner with cross‑functional teams to translate business needs into technical solutions